DIVEFOR

Digital Image and Video Forensics

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 Obiettivo del progetto (Objective)

'This project is about transferring knowledge of image and video forensics between the academia and industry. Building on the complementary expertise of the participants, the consortium aims to pursue two major lines of investigations: Device fingerprint based forensics and hidden data based forensics. The first line of investigation requires the formulation of a set of “fingerprint” left in the images/video by the hardware components or in-built signal processing algorithms of the imaging device and involves the study of its forensic applications. The applications we are aiming for include device identification, technology/licensing infringement detection, device linking, automatic media classification, tampering detection. To guarantee the value of the these techniques, anti-anti-forensics measures will also be devised to detect/prevent removal or substitution of the fingerprint set. The second line of investigation is about the use and analysis of hidden data in the host image/video for authentication, content integrity verification, copyright protection (including ownership identification, proof of ownership, copy control, traitor tracing), and the use and detection of covert communications. Although data hiding is a relatively mature research area, their applicability in the real world is yet to be fully explored due to the fact that the security issues are often interleaved with multimedia processing issues and requires addressing. Therefore this line of research requires the formulation of specific security requirements and attack modelling for specific applications. Overall, both lines of research require a wide variety of expertise such as multimedia signal processing, computer vision, pattern recognition, machine learning, and optimisation theory. Therefore it is expected that this project will also take the soundness and applicability of these theories to a new level and lay a solid foundation for wider lasting collaborations in the related areas.'

Introduzione (Teaser)

An EU project examined forensic applications of data fingerprints identifying specific video recorders. The work produced prototype software tools related to device identification, licensing infringement and anti-tampering, among others.

Descrizione progetto (Article)

All video recorders leave individually identifying clues in the data. The information can be used forensically in many ways, including matching a particular machine to a certain video.

The EU-funded 'Digital image and video forensics' (DIVEFOR) project studied the forensic applications of video device fingerprints and of hidden data. The former included device identification and detection of licensing infringement.

Research addressed measures to prevent removal or alteration of the digital fingerprint. The set of applications based on hidden video data involved authentication, content integrity verification, copyright protection and detection of covert communications. The four-member consortium ran between mid-2010 and mid-2014.

Technical milestones included formulation of the device fingerprint vector, development of forensic applications, and detection of device fingerprint removal and substitution. The team also developed semi-fragile/fragile digital watermarking, robust digital watermarking, and steganography and steganalysis. The work yielded a total of 24 conference papers and 10 journal papers.

The project applied for four patents, three of which were pending as of the project's conclusion.

Additional dissemination work included a set of 4 technical reports, and a series of 20 lectures and demonstrations.

The DIVEFOR project resulted in development of applications of digital fingerprint analysis technologies for video. The consortium also secured a number of future collaborations and funding opportunities.